The rapidly growing and changing zoo of deep learning frameworks can be hard to keep up with. In this talk Micha will begin by introducing deep learning at a conceptual level. He'll then give an overview of what frameworks like Tensorflow, Keras, Theano, etc. do, and where their strengths and weaknesses lie. He'll then show to build a non-trivial deep learning system using Keras, a particularly practical high level framework suitable for prototypes and production.
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